| 一种基于Surendra背景更新的背景减除运动目标检测方法 |
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| 引用本文： | 张顺淼,吕开东.一种基于Surendra背景更新的背景减除运动目标检测方法[J].南京工程学院学报(自然科学版),2011,9(2):22-27. |
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| 作者姓名： | 张顺淼 吕开东 |
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| 作者单位： | 1. 福建工程学院计算机与信息科学系,福建福州,350108
2. 哈尔滨工程大学自动化学院,黑龙江哈尔滨,150001 |
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| 基金项目： | 福建工程学院基金资助项目 |
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| 摘 要： | 针对监控环境下运动物体的检测,提出了基于Surendra背景更新的背景减除的运动目标检测方法.首先对视频图像进行灰度化并去噪,再建立一个可靠的Surendra背景更新模型,由背景消减法得到运动目标图像,最后图像进行二值化并采用形态学滤波和连通区域面积检测进行后处理,以消除噪声和背景扰动带来的影响.试验结果表明本文采用的基于Surendra背景更新算法的背景减除的方法,具有较好的实用性.
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| 关 键 词： | 背景更新 背景减除 目标检测 |
A Motion Detection Algorithm based on Surendra Background Updating and Background Subtraction |
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| ZHANG Shun-miao,L Kai-dong.A Motion Detection Algorithm based on Surendra Background Updating and Background Subtraction[J].Journal of Nanjing Institute of Technology :Natural Science Edition,2011,9(2):22-27. |
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| Authors: | ZHANG Shun-miao L Kai-dong |
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| Institution: | ZHANG Shun-miao~1,L(U|¨) Kai-dong~2 (1.Department of Computer and Information Science,Fujian University of Technology,Fuzhou 350108,China,2.College of Automation,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | To detect the motion of objects under monitored circumstances, a motion detection algorithm based on Surendra background updating and background subtraction is proposed. The visual images are grayed and the noise is eliminated. Then a reliable model of Surendra background updating is developed. The motion information is detected by adopting background subtraction method. The images are segmented. In an attempt to minimize the negative influences of noise and background disturbance, morphologic filtering and connected region area measurement are introduced. The experimental results show that the algorithm based on Surendra is practically valuable. |
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| Keywords: | background updating background subtraction motion detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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